Taposh Dutta Roy

Directed enterprise-wide AI strategy across 40+ hospitals, aligning with clinical and operational goals to enhance care quality, patient experience, and workforce efficiency.

Designed and deployed a Hospital Digital Twin platform, projected to deliver $1B+ in operational savings via workflow optimization and in-silico experimentation (USPTO 19/247,983 filed 06/2025).

Reduced patient wait times by 20% through near real-time unit census forecasting across 60 hospitals, improving staffing allocation and patient flow.

Developed predictive and journey analytics models for CKD, ESRD, and diabetic retinopathy, achieving an improved early detection AUC of 96% and better chronic disease management.

Established bias and fairness monitoring pipelines, ensuring equitable AI outcomes across racial, socioeconomic, and geographic patient groups.

Implemented HIPAA/HITRUST-compliant pipelines with CI/CD, model versioning, and audit-ready monitoring leveraging AWS, Kubernetes, and Databricks.

Delivered quarterly AI strategy presentations to the C-suite and board of directors, translating complex AI initiatives into business ROI metrics for non-technical stakeholders.

Directed $150M+ AI portfolio budget allocation, achieving 15% cost savings while exceeding delivery targets across three concurrent enterprise initiatives with teams of 40+ FTEs.

Spearheaded the creation and launch of the 'Operations Watch List' (OWL) mobile app and predictive models across 21 hospitals, recognized with a CIO 100 Award.

Defined product requirements for real-time patient flow forecasting, enabling proactive staffing and reducing care delays across hospital operations.

Collaborated cross-functionally with product, data, and design teams to integrate predictive insights into frontline clinical workflows.

Oversaw scalable deployment of digital platforms across multiple regions, supporting thousands of clinicians and operational leaders.

Built centralized data platforms and dashboards, empowering clinicians and leaders with evidence-based decision-making capabilities.

Piloted early AI-driven clinical alerting systems ('Advanced Alert Monitoring'), significantly improving patient outcomes.

Founded the Data Science Challenge, training over 400 staff in digital tools to foster a culture of innovation and adoption.

Developed an AD development product that reduced ad development time from 40 hours to 2 hours, increasing revenue by 200%.

Managed full product lifecycle across cross-functional teams, positioning the company for successful acquisition.

Devised pricing models and behavioral analytics to optimize monetization and user engagement.

Developed the first version of Fandango Muppets (2007), enhancing client's digital offerings.

Developed a worldwide platform for Franklin Templeton Investments for Mutual Funds, deployed across 36 countries.

Developed technology strategies and roadmaps aligned with business objectives to drive innovation and operational efficiency.

Administered operational functionality of a biotech company specializing in DNA sequencing and automated proteomics tools.

Achieved over $1M in revenue by developing proprietary software and successfully integrating OEM solutions.